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The Weibull Distribution
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The Weibull Distribution : A Handbook

Book Details

Format Paperback / Softback
ISBN-10 0367577461
ISBN-13 9780367577469
Publisher Taylor & Francis Ltd
Imprint Chapman & Hall/CRC
Country of Manufacture GB
Country of Publication GB
Publication Date Jun 30th, 2020
Print length 808 Pages
Weight 1,446 grams
Dimensions 25.30 x 17.90 x 4.50 cms
Ksh 10,600.00
Werezi Extended Catalogue 0 in stock

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Compiling findings from many scientific journals and research papers, this handbook focuses on the origin, statistical properties, and related distributions of the Weibull distribution. It also presents various approaches to estimate the parameters of this distribution under all possible situations of sampling data as well as approaches to param

The Most Comprehensive Book on the Subject



Chronicles the Development of the Weibull Distribution in Statistical Theory and Applied Statistics
Exploring one of the most important distributions in statistics, The Weibull Distribution: A Handbook focuses on its origin, statistical properties, and related distributions. The book also presents various approaches to estimate the parameters of the Weibull distribution under all possible situations of sampling data as well as approaches to parameter and goodness-of-fit testing.





Describes the Statistical Methods, Concepts, Theories, and Applications of This Distribution
Compiling findings from dozens of scientific journals and hundreds of research papers, the author first gives a careful and thorough mathematical description of the Weibull distribution and all of its features. He then deals with Weibull analysis, using classical and Bayesian approaches along with graphical and linear maximum likelihood techniques to estimate the three Weibull parameters. The author also explores the inference of Weibull processes, Weibull parameter testing, and different types of goodness-of-fit tests and methods.





Successfully Apply the Weibull Model
By using inferential procedures for estimating, testing, forecasting, and simulating data, this self-contained, detailed handbook shows how to solve statistical life science and engineering problems.


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